Melanoma Skin Cancer Detection Using Deep Convolutional Neural Network

Melanoma Skin Cancer Detection Using Deep Convolutional Neural Network

Registration ID: IJNRD_186875

Published ID: IJNRD2301367

DOI: Click Here to Get

Udya Kalyani

Unregulated skin cell development results in skin cancer. Undamaged DNA harm to skin cells causes alterations, or genetic flaws, which cause the skin cells to proliferate rapidly and develop into cancerous tumors. The look of the damaged section on the skin can be utilized to diagnose skin cancer via image analysis. One of the key areas of synthetic intellect is the artificial neural network (ANN), which is now recognized as a cutting-edge tool for picture analysis in computer science. Currently, neural nets are a hot topic in healthcare, especially in the disciplines of radiography, urology, cardiology, cancer, etc. An extremely call network requires the use of neural networks. In this research, a computational approach for applying neurons to clinical picture analysis has been devised. The final goal of this research is to analyses the clinical data and develop urgent safety nets that are affordable. In order to develop diagnosis techniques that can enhance triage procedures in the urgent care, it has been utilized to evaluate Melanoma factors including asymmetric, border, colour, and diameter (ABCD), whom are computed utilizing MATLAB from melanomas photos. We employ ANN in the classification stage using Back Propagation Algorithm using the ABCD criteria for melanoma skin cancer. We first educate the system with predetermined target values. These uncertain variables are evaluated for the categorization of cancer after the network has been trained with 96.9% accuracy. For the classification of skin cancer, this method of classification appears to be more effective.

Published Paper   E-Certificate

"Melanoma Skin Cancer Detection Using Deep Convolutional Neural Network", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.d568-d575, January-2023, Available :https://ijnrd.org/papers/IJNRD2301367.pdf

Volume 8 Issue 1, January-2023

Pages : d568-d575

Paper Reg. ID: IJNRD_186875

Published Paper Id: IJNRD2301367

Downloads: 000121153

Research Area: Electronics & Communication Engg. 

Country: kadapa, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301367.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301367

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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